2021-present Tenured associate professor, School of Public Health, Peking University

2014-2021 Tenure-track assistant professor, School of Public Health, Peking University

2019-present Director, the Centre for Real-world Evidence Evaluation，Peking University Clinical Research Institute

2023-present Principle Investigator, Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China

2018-2022 Principle Investigator, Key Laboratory of Molecular Cardiovascular (Peking University), Ministry of Education, Beijing, China

2008-2013 Research Associate / Medical Statistician, Department of Public Health & Primary Care, University of Cambridge, UK. Supervisor: Prof John Danesh

2007-2008 Research Associate, School of Computer Science, University of Manchester. Supervisor: Prof. Neil Lawrence

2007 PhD, Probabilistic Modelling, Newcastle University, UK. Supervisor: Prof. Wai Lok Woo.

2003 MSc., Communication and statistical signal processing, Newcastle University, UK. Supervisor: Prof. Wai Lok Woo.

2002 BEng., Electronic Information and control engineering, Beijing University of Technology

Awards

2019 Leading talent of science and technological innovation, “National special support program for high-level personnel recruitment” program ("Ten thousand plan"), Central Organization Department, China

2018 Leading talent of science and technological innovation, Ministry of science and technology, China

2018 Wang Xuan Young Scholar award, Peking University

2017 “Peking University Medicine” Science & Technology Award for Young Talents, Peking University

2015 National Talents Program for Distinguished Young Scholars, Central Organization Department, China

(i) epidemiology of chronic diseases, particularly cardiovascular disease and diabetes; 

(ii) risk prediction and screening; 

(iii) statistical methods in medical research, especially for the evidence synthesis from multi-source data.

1. 2020-2023: PI, Development of online risk prediction and dynamic monitoring system for 10 major chronic diseases, funded by Ministry of science and technology (Grant No.: 2020YFC2003503), China, 1.8 million CNY.

2. 2019-2021: PI, Development and validation of CVD risk prediction models in people with diabetes in New Zealand and China: a collaborative project, funded by National Natural Science Foundation of China (Grant No.: 81961128006). 500,000 CNY.

3. 2019: PI, Research on risk-based health management by dynamic monitoring of the population: a case study in cardiovascular disease, funded by National Natural Science Foundation of China (Grant No.: 91846112). 200,000 CNY.

4. 2016-2018: PI, Cardiovascular risk prediction for the Chinese Population using big data: from discovery to application, funded by National Natural Science Foundation of China (Grant No.: 91546120), 420,000 CNY.

5. 2018-2020: PI, Prognostic model of survival for aortic dissection: from discovery to application, funded by Beijing Natural Science Foundation (Grant No.: 7182084), China, 200,000 CNY.

6. 2020-2023: Co-investigator, Cardiovascular Risk assessment and dynamic monitoring based prevention Trial for prImary Care quALity evaLuation in Yinzhou (CRITICALLY): a stepped-wedge study, funded by the National Natural Science Foundation of China (Grant No.: 81973132), 550,000 CNY.

7. 2016-2019: Co-investigator, Integrative Pathway Analysis and Multi-locus Genetic Risk Scores for the Risk Assessment of Ischemic Stroke in Chinese, funded by the National Natural Science Foundation of China (Grant No.: 81573226), 500,000 CNY.

1. Tian Yaohua, Liu Hui, Wu Yiqun, Si Yaqin, Song Jing, Cao Yaying, Li Man, Wu Yao, Wang Xiaowen, Chen Libo, Wei Chen, Gao Pei, Hu Yonghua; Association between ambient fine particulate pollution and hospital admissions for cause specific cardiovascular disease: time series study in 184 major Chinese cities; BMJ; 2019, 367: l6572.

2. Wang Yuan, Tan Xin, Gao Hai, Yuan Hui, Hu Rong, Jia Lixin, Zhu Junming, Sun Lizhong, Zhang Hongjia, Huang Lianjun, Zhao Dong, Gao Pei, Du Jie; Magnitude of Soluble ST2 as a Novel Biomarker for Acute Aortic Dissection; Circulation; 2018 Jan 16, 137(3):259-269.

3. Liang Jingyuan, Pylypchuk Romana, Tang Xun, Shen Peng, Liu Xiaofei, Chen Yi, Tan Jing, Wu Jinguo, Zhang Jingyi, Lu Ping, Lin Hongbo, Gao Pei, Jackson Rod; Rationale, design and population description of the CREDENCE study: cardiovascular risk equations for diabetes patients from New Zealand and Chinese electronic health records; European Journal of Epidemiology; 2021, 36:1085–1095.

4. Tian Yaohua, Liu Hui, Liang Tianlang, Xiang Xiao, Li Man, Juan Juan, Song Jing, Cao Yaying, Wang Xiaowen, Chen Libo, Wei Chen, Gao Pei, Hu Yonghua; Fine particulate air pollution and adult hospital admissions in 200 Chinese cities: a time-series analysis; International Journal of Epidemiology; 2019 Aug 1, 48(4):1142-1151.

5. Liang Jingyuan, Li Qianqian, Fu Zhangping, Liu Xiaofei Liu, Shen Peng, Sun Yexiang, Zhang Jingyi, Lu Ping Lu, Lin Hongbo, Tang Xun, Gao Pei; Validation and comparison of cardiovascular risk prediction equations in Chinese patients with Type 2 diabetes; European Journal of Preventive Cardiology; 2023, 30(12): 1293-1303.

6. Wang L#, Gao P#, Zhang M, Huang Z, Zhang D, Deng Q, Li Y, Zhao Z, Qin X, Jin D, Zhou M, Tang X, Hu Y*, Wang L*; Prevalence and Ethnic Pattern of Diabetes and Prediabetes in China in; 2013, JAMA; 2017,317(24):2515-2523.

7. Li Wei, Chen Jia, He Xianjie, Wang Jinxi, Wei Chen, Tang Xun, Gao Pei; Stock volatility and hospital admissions for cardiovascular disease: Results from the National Insurance Claims for Epidemiological Research (NICER) study; The Lancet Regional Health-Western Pacific; 2023 Feb, 31, 100595.

8. Tian Yaohua, Liu Hui, Zhao Zuolin, Xiang Xiao, Li Man, Juan Juan, Song Jing, Cao Yaying, Wang Xiaowen, Chen Libo, Wei Chen, Hu Yonghua, Gao Pei; Association between ambient air pollution and daily hospital admissions for ischemic stroke: A nationwide time-series analysis; Plos Medicine; 2018 Oct 4, 15(10):e1002668.

9. Di Angelantonio E#, Gao P#, Khan H#, Butterworth AS#, Wormser D, Kaptoge S, Kondapally Seshasai SR, Thompson A, Sarwar N, Willeit P, Ridker PM, Barr EL, Khaw KT, Psaty BM, Brenner H, Balkau B, Dekker JM, Lawlor DA, Daimon M, Willeit J, Njolstad I, Nissinen A, Brunner EJ, Kuller LH, Price JF, Sundstrom J, Knuiman MW, Feskens EJ, Verschuren WM, Wald N, Bakker SJ, Whincup PH, Ford I, Goldbourt U, Gomez-de-la-Camara A, Gallacher J, Simons LA, Rosengren A, Sutherland SE, Bjorkelund C, Blazer DG, Wassertheil-Smoller S, Onat A, Marin Ibanez A, Casiglia E, Jukema JW, Simpson LM, Giampaoli S, Nordestgaard BG, Selmer R, Wennberg P, Kauhanen J, Salonen JT, Dankner R, Barrett-Connor E, Kavousi M, Gudnason V, Evans D, Wallace RB, Cushman M, D'Agostino RB, Sr., Umans JG, Kiyohara Y, Nakagawa H, Sato S, Gillum RF, Folsom AR, van der Schouw YT, Moons KG, Griffin SJ, Sattar N, Wareham NJ, Selvin E, Thompson SG, Danesh J*; Glycated hemoglobin measurement and prediction of cardiovascular disease; JAMA; 2014,311(12):1225-33.

10. Sarwar N#, Gao P#, Seshasai SR#, Gobin R#, Kaptoge S, Di Angelantonio E, Ingelsson E, Lawlor DA, Selvin E, Stampfer M, Stehouwer CD, Lewington S, Pennells L, Thompson A, Sattar N, White IR, Ray KK, Danesh J* "Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies." Lancet, 2010, 375(9733): 2215-2222.